Cluster Analysis

Select variables for principal component analysis

• foreclosure_pct,
• med_alpricesft,
• std_alpricesft,
• pv_pct, pop_sqmi,
• pct_sf,
• pct_2to4,
• gt1_alsales_pct,
• demo_per_rs,
• pop_sqmi,
• vac_pct,
• owner_occ_pct,
• same_house_1yr_pct,
• vac_rate_adj1719,
• inc_vs_homeprice (standardized median household income - standardized median sales price/sqft)

From the PCA, three components were retained. These three components, as well as one additional variable, sale_pricesft_ch, defined as the percentage change in median arms-length home sale prices per sqare foot, from the period of 2014-2016 to 2017-2019.

The cluster analysis settled on a solution identifying eight distinct neighborhood types among Cleveland’s block groups.

Clusters

Ordered by median sale price/sqft

Ordered by median household income